Mohmmad Khrisat*
OPEN ACCESS
Digital color images play a crucial role in various critical applications, necessitating the development of effective noise reduction techniques to preserve image quality and characteristics. Salt and pepper noise, in particular, can significantly degrade digital image quality, with the extent of the impact contingent upon image size and noise ratio. Existing methods reliant on arithmetic mean and median filtering have proven inadequate for addressing high noise ratios. In this study, we propose and implement a novel average filter—an enhancement over traditional mean filters—to efficiently mitigate salt and pepper noise, specifically in cases with high noise ratios. Our results demonstrate the superior performance of the proposed filter in terms of preserving image quality and reducing noise, as evidenced by improved maximum auto-correlation factors and peak signal-to-noise ratios.
salt and pepper noise, noise ratio, average filter, mean filter, maximum auto-correlation factors, peak signal-to-noise ratio
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